Special Issue "Metaheuristics"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (15 April 2022) | Viewed by 5633
There are a great variety of challenges that require solution in areas of science and engineering that can be posed as optimization problems. These involve different physical quantities such as time, temperature, distance, and speed, as well as costs, utility, quality, and raw materials in real-life problems. The metaheuristic algorithms generally solve an infinity of these problems by defining the variables, the objective function, and the constraints that model the problem. Metaheurists propose strategies to explore the search space and find good solutions to the scientific or engineering problem. The purpose of the Special Issue on Metaheuristics is to establish new paradigms of search strategies based on mathematical modeling of bioinspired systems or physical systems that help to establish new algorithms, as well as present applications to different scientific and engineering challenges that can be modeled as optimization problems. It is of special interest to researchers in areas such as computer science, physics, artificial intelligence, computer vision, combinatorial optimization, and engineering areas such as industrial, mechatronics, robotics, and biomedicine, among others.
Dr. Francisco Cuevas De La Rosa
Manuscript Submission Information
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- evolutionary computation
- particle swarm optimization
- bioinspired algorithms
- computer vision
- combinatorial optimization
- multiobjective optimization
- scheduling problems
- neural networks
- deep learning
- search problems
- machine learning
- constraint handling techniques
- hybrid methods
- computational intelligence
- computer vision applications
- industrial engineering applications
- operation research applications
- mechatronics applications
- scheduling applications
- biomedical imaging and diagnosis applications